Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Cancer Therapy Advisor

Deep Learning Ensemble Shows Potential for Identifying Melanoma

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
IEEE

Early Detection of Anemia Using Ensemble Machine Learning Algorithms with Data Balancing

Abstract: A global public health concern that impacts not just the impoverished but also rich populated countries is anemia. It's an international concern for public health assurance. Although its ...
Scientific Research Publishing

Polikar, R. (2012) Ensemble Learning. In: Zhang, C. and Ma, Y., Eds., Ensemble Machine Learning, Springer, 1-34.

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
IEEE

Financial Risk Warning and Traceability for Manufacturing Enterprises: A Three-Stage Framework Based on Ensemble Learning Algorithm

Abstract: Manufacturing enterprises operate in an increasingly volatile global supply chain environment, making financial risk early warning a critical prerequisite for ensuring sustainable operations ...
Frontiers

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes

Rapid and accurate identification of lactic acid bacteria (LAB) species would greatly improve the screening rate for functional LAB. Although many conventional and molecular methods have proven ...